Early recognition of gesture pattern based on first person sensing and third person sensing
Project/Area Number |
23680018
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Research Category |
Grant-in-Aid for Young Scientists (A)
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Allocation Type | Single-year Grants |
Research Field |
Perception information processing/Intelligent robotics
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Research Institution | Kyushu University |
Principal Investigator |
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Project Period (FY) |
2011-04-01 – 2015-03-31
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Project Status |
Completed (Fiscal Year 2014)
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Budget Amount *help |
¥17,940,000 (Direct Cost: ¥13,800,000、Indirect Cost: ¥4,140,000)
Fiscal Year 2014: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2013: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2012: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2011: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
|
Keywords | 動作認識 / 早期認識 / カメラセンサ / ウェアラブルセンサ / 動作特徴 / モーションセンサ / 追加学習 / 動作解析 / 一人称センシング / 三人称センシング |
Outline of Final Research Achievements |
We utilized camera sensors, depth sensors arranged in a room in order to capture a user's activity. Besides, we introduced wireless motion sensors to extract the user's behavior as precisely as possible. By using these features, we tackled a problem to determine recognition results at the beginning part of recognition process, called early recognition of gesture pattern. We also researched about an incremental learning methodology to adapt to a user's own behavior. Furthermore, we proposed a design strategy of user- & machine-friendly gesture pattern.
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Report
(5 results)
Research Products
(22 results)
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[Presentation] モーションセンサを用いた農作業認識2014
Author(s)
土井 惟成, 有田 大作, 島田 敬士, 長原 一, 谷口 倫一郎
Organizer
農業情報学会 2014 年度年次大会,
Place of Presentation
東京
Year and Date
2014-05-14 – 2014-05-15
Related Report
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